CareerPlanGet AI match score →

Research Fellow (Computer Science/ Mechanical/ Electrical/ Aerospace Engineering/Physics)

NTU Main Campus, Singapore💼 Full-time🗓 2026-05-21 → 2026-08-01

Core

Develop efficient AI and Machine Learning techniques for investigating fluid-structure interaction problems.

Role type

Research Fellow (Postdoc)

Builds

Research articles and methodologies

Domain

Engineering (Fluid-Structure Interaction, AI/ML)

Deliverable

research

Required skills

AI and ML in Engineering applications, theoretical development, numerical simulations, scientific publication

Preferred skills

None stated

Technologies

None stated

Responsibilities

Undertake theoretical development of AI and physics-enabled data driven methodologies for fluids and structure, Undertake numerical simulations and experiments, Innovate and seek technologies for potential applications, Publish quality research articles to disseminate study findings, Undertake project administrations and liaison, Provide regular updates and reports

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗